Executive summary: This post offers a historical overview of how evidence—from the scientific revolution to modern randomized controlled trials (RCTs)—has come to shape global development practices, highlighting both the power and the limitations of evidence-based approaches, especially in scaling interventions and addressing systemic challenges; it serves as part two of a reflective and educational seven-part series.
Key points:
Historical foundations of evidence-based thinking: The scientific revolution, driven by figures like Copernicus, Galileo, Bacon, and Newton, emphasized observation, experimentation, and the systematic sharing of knowledge, laying the groundwork for later evidence-based practices in fields like medicine and development.
Transformation of medicine through science: The transition from anecdotal remedies to germ theory, vaccines, and public health infrastructure marked a major shift toward evidence-driven healthcare, later bolstered by statistical methods and cost-effectiveness analysis (CEA) using metrics like QALYs and DALYs.
Rise of RCTs in global development: Inspired by successes in medicine and agriculture, RCTs gained prominence in economics and development, exemplified by the work of Banerjee and Duflo and institutions like J-PAL, promoting a “small interventions, rigorous testing” paradigm.
Critiques and limitations of RCTs: Concerns include limited generalisability across contexts, ethical and practical challenges in scaling, and the narrow focus on micro-level interventions over structural causes of poverty. Research by Wykstra, Vivalt, and others highlights variability in outcomes and potential biases.
Challenges of scaling and sustainability: Implementing interventions beyond controlled trials often faces logistical, motivational, political, and economic hurdles that can erode effectiveness, prompting research initiatives like Y-RISE to study real-world transitions.
Toward methodological pluralism: While RCTs remain valuable, the field is maturing into a more nuanced phase that embraces diverse methods, better causal inference, and institutional capacity-building, moving past “hype” to more balanced, context-sensitive evidence use.
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, and contact us if you have feedback.
Executive summary: This post offers a historical overview of how evidence—from the scientific revolution to modern randomized controlled trials (RCTs)—has come to shape global development practices, highlighting both the power and the limitations of evidence-based approaches, especially in scaling interventions and addressing systemic challenges; it serves as part two of a reflective and educational seven-part series.
Key points:
Historical foundations of evidence-based thinking: The scientific revolution, driven by figures like Copernicus, Galileo, Bacon, and Newton, emphasized observation, experimentation, and the systematic sharing of knowledge, laying the groundwork for later evidence-based practices in fields like medicine and development.
Transformation of medicine through science: The transition from anecdotal remedies to germ theory, vaccines, and public health infrastructure marked a major shift toward evidence-driven healthcare, later bolstered by statistical methods and cost-effectiveness analysis (CEA) using metrics like QALYs and DALYs.
Rise of RCTs in global development: Inspired by successes in medicine and agriculture, RCTs gained prominence in economics and development, exemplified by the work of Banerjee and Duflo and institutions like J-PAL, promoting a “small interventions, rigorous testing” paradigm.
Critiques and limitations of RCTs: Concerns include limited generalisability across contexts, ethical and practical challenges in scaling, and the narrow focus on micro-level interventions over structural causes of poverty. Research by Wykstra, Vivalt, and others highlights variability in outcomes and potential biases.
Challenges of scaling and sustainability: Implementing interventions beyond controlled trials often faces logistical, motivational, political, and economic hurdles that can erode effectiveness, prompting research initiatives like Y-RISE to study real-world transitions.
Toward methodological pluralism: While RCTs remain valuable, the field is maturing into a more nuanced phase that embraces diverse methods, better causal inference, and institutional capacity-building, moving past “hype” to more balanced, context-sensitive evidence use.
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, and contact us if you have feedback.